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Solution Architect

Remote • Posted 1 hour ago • Updated 1 hour ago

Full Time

50% Travel Required

Remote

Depends on Experience

VHL Technologies

Fitment

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Job Details

Skills

Rackspace
LLM
GPU
RAG
Architect
Nvidia

Summary

Role Overview

The Solution Architect V is a principal-level, customer-facing architect for Rackspace's largest and most technically demanding GPU-as-a-Service (GPUaaS) opportunities in the United States.

Technical Expertise

Good GPU infrastructure Knowledge

• Accelerators and their sizing characteristics (HBM, memory bandwidth, scale-up domain, power): NVIDIA H100/H200, B200/B300, GB200/GB300 NVL72; AMD Instinct MI300X/MI325X/MI355X.

• Networking and storage: NVLink/NVSwitch, InfiniBand and RoCEv2/Spectrum-X, SuperNICs/DPUs; parallel and all-flash file systems (WEKA, VAST, DDN) and GPUDirect Storage.

• Orchestration and multi-tenancy: Kubernetes with NVIDIA GPU Operator and AMD ROCm equivalents, MIG, time-slicing, bare-metal provisioning on OpenStack, tenant isolation and quotas.

• Data center and validation: 40 kW to 140 kW+ racks, direct-to-chip liquid cooling, burn-in and acceptance testing (DCGM, NCCL/RCCL), NVIDIA and AMD reference architectures.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90982944
Position Id: SAGG0.11
Posted 1 hour ago

Company Info

About VHL Technologies

OUR CORE EXPERTISE

We have a large pool of expert resources that specialize in all aspects of the Big Data Technology stack including Spark SQL, spark streaming, Hive, Pig, Storm, Hbase and MongoDB, Cassandra, Redis and other NoSql technologies. We take pride in partnering with companies to help them harness the power of big data, enabling advanced analytics, AI, BI and deep learning. We are obsessed with all things data and our vision is to enable companies explore and monetize massive amounts of unexplored data assets at the speed of thought.

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